Individual identification in acoustic recordings

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Improving Bird Classification with Unsupervised Sound Separation

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Repertoire‐based individual acoustic monitoring of a migratory passerine bird with complex song as an efficient tool for tracking territorial dynamics and annual return rates

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Is it possible to acoustically identify individuals within a population?

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Acoustic censusing and individual identification of birds in the wildPreprint

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Effects of landscape and distance in automatic audio based bird species identification

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High Accuracy Individual Identification Model of Crested Ibis (Nipponia Nippon) Based on Autoencoder With Self-Attention

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VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition ChallengePreprint

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OpenFEAT: Improving Speaker Identification by Open-Set Few-Shot Embedding Adaptation with Transformer

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Generalized Domain Adaptation Framework for Parametric Back-End in Speaker Recognition

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Passive acoustic monitoring provides predictable and reliable underestimates of population size and longevity in wild Savannah Sparrows

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Vocal instability over time in individual male European nightjars,Caprimulgus europaeus: recommendations for acoustic monitoring and surveys

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Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech

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New wireless acoustic array node for localization, beamforming and source separation for bio-complexity bird data collection and study

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Acoustic signatures in Mexican cavefish populations inhabiting different caves

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Adversarial Training Based on Meta-Learning in Unseen Domains for Speaker Verification

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A global assessment of BirdNET performance: Differences among continents, biomes, and species

Funosas, D., Sebastián‐González, E., Morant, J., Marín‐Gómez, O. H., Mendoza, I., Mohedano-Muñoz, M. A., Santamaría-García, E., Bastianelli, G., Márquez‐Rodríguez, A., Budka, M., et al. (2026) · Ecological Indicators · doi:10.1016/j.ecolind.2025.114550 · Cited by 19 · see citing works

Acoustic indices are not useful for biodiversity research

Sugai, L. S. M., Balantic, C., Clink, D. J., Ramesh, V., Kahl, S., Klinck, H., & Wood, C. M. (2026) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70285 · Cited by 12 · see citing works

Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics

Kitzes, J. A., Chronister, L. M., Czarnecki, C., Fiss, C. J., Freeland‐Haynes, L., Goodman, B. D., Lapp, S., Lyon, R. P., Nossan, H., Rhinehart, T. A., et al. (2025) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70133 · Cited by 12 · see citing works

National-scale acoustic monitoring of avian biodiversity and migration

Bick, I. A., Bakkestuen, V., Cretois, B., Hillier, B. V., Kålås, J. A., Øien, I. J., Pedersen, M., Raja, K. B., Rosten, C. M., Somveille, M., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-10389-4 · Cited by 9 · see citing works

Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing

Sarkar, E., & Magimai.-Doss, M. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889684 · Cited by 5 · see citing works

AI carves out a niche in ecology and conservation research

Gewin, V. L. (2025) · Nature Methods · doi:10.1038/s41592-025-02682-7 · Cited by 7 · see citing works

Automated identification of individual birds by song enables multi-year recapture from passive acoustic monitoring dataPreprint

Lapp, S., Lyon, R. P., Wilson, S. J., Rhinehart, T. A., Czarnecki, C., Chronister, L. M., Fiss, C. J., Larkin, J. L., Bayne, E. M., & Kitzes, J. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.26.661638 · Cited by 6 · see citing works

Insights into detection probability of forest bird surveys from comparison of in-person and passive acoustic monitoring point counts

Knight, E. C., Wilgenburg, S. L. V., Iles, D. T., Edwards, B. P. M., Yip, D. A., Rhinehart, T. A., Lapp, S., Kitzes, J. A., & Bayne, E. M. (2025) · Ornithological Applications · doi:10.1093/ornithapp/duaf082 · Cited by 6 · see citing works

Passive acoustic monitoring can provide insights into occupancy dynamics and impacts of disturbance for at‐risk species

Winiarski, J. M., Whitmore, S. A., Wood, C. E., Eiseman, J. P., Netoskie, E. C., Bieber, M. E., Kramer, H. A., Kelly, K. G., McGinn, K. A., Thompson, C. M., et al. (2026) · Ecological Applications · doi:10.1002/eap.70177 · Cited by 4 · see citing works

Acoustic recognition of individuals in closed and open bird populations

Huang, L., Clarke, R. H., Teixeira, D., Chiaradia, A., & Meyer, B. E. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103330 · Cited by 8 · see citing works

Using non-invasive and minimally-invasive methods to inform conservation of terrestrial mammals: A review of novel techniques and new applications

Goodenough, A. E., & Perks, S. J. (2025) · Journal for Nature Conservation · doi:10.1016/j.jnc.2025.127049 · Cited by 3 · see citing works

Passive Acoustic Data as Phenological Distributions: Uncovering Signals of Temporal Ecology

Clapp, M. K., Tingley, M. W., Lesmeister, D. B., Gremel, S. A., Ransom, J. I., Holmgren, M. L., & Siegel, R. B. (2026) · Ecology and Evolution · doi:10.1002/ece3.73020 · Cited by 4 · see citing works

Classification of Bryde's whale individuals using high-resolution time-frequency transforms and support vector machines

Tary, J. B., Peirce, C., & Hobbs, R. W. (2025) · The Journal of the Acoustical Society of America · doi:10.1121/10.0036223 · Cited by 3 · see citing works

Territorial Acoustic Species Estimation using Acoustic Sensor Networks

Brüggemann, L., Otten, D., Sachser, F., & Aschenbruck, N. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103281 · Cited by 3 · see citing works

Effects of bias when using ‘black box’ models: re-evaluating the evidence for the use of name-like calls by elephants

Dharmarajan, G. (2026) · Animal Behaviour · doi:10.1016/j.anbehav.2026.123547 · Cited by 2 · see citing works

Shazam for birds

Freeman, B. G. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2414224121 · Cited by 2 · see citing works

Acoustic Recognition of Individual Animals in the Presence of Unknown IndividualsPreprint

Huang, L., Clarke, R. H., Teixeira, D., Chiaradia, A., & Meyer, B. E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.18.629284 · Cited by 2 · see citing works

A large-scale acoustic dataset of a passerine with spatially variable vocal behavior: fine-scale annotations of song and call types

Pérez‐Granados, C., Alonso-Moya, C. D., Barrero, A., Sáez‐Gómez, P., Bota, G., Lahoz‐Monfort, J. J., Osiejuk, T. S., Rogers, A., Schuchmann, K., & Traba, J. (2026) · Scientific Data · doi:10.1038/s41597-026-07131-4 · Cited by 2 · see citing works

Individual Bird Identification by Modeling Temporal Structure in Bioacoustic EmbeddingsPreprint

Gallego-Londoño, J., Martinez-Vargas, J. D., & López, J. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.21.727031 · Cited by 2 · see citing works

Accurate prediction of olive‐sided flycatcher breeding status using song rate measured with autonomous recording units

Upham‐Mills, E. J., Crosby, A. D., Reimer, J. R., Haché, S., Stehelin, T. E., & Bayne, E. M. (2025) · Journal of Wildlife Management · doi:10.1002/jwmg.70026 · Cited by 1 · see citing works

Playback-Based Localization of Songbirds Using Multiple Recorders

Bustamante, L., Gallego-Londoño, J., & López, J. D. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-08206-0_26 · Cited by 1 · see citing works

Year-round residency and movement behavior of Greater Caribbean manatees (Trichechus manatus manatus) in Panama and Costa Rica

Guzmán, H. M., Estévez, R. M., Contreras, K., Poveda, H., Sánchez-Galán, J. E., & Merchán, F. (2025) · Frontiers in Marine Science · doi:10.3389/fmars.2025.1661294 · Cited by 1 · see citing works

Integrating Passive Acoustic Monitoring, Deep Learning, and Social Network Analysis for Wildlife Ecology and Conservation

Zhang, Y., Jiang, X., Zeng, X., Rao, X., & Wang, D. (2025) · Integrative Zoology · doi:10.1111/1749-4877.70040 · Cited by 1 · see citing works

Large‐Scale Forest Restoration Accompanied by Biodiversity Recovery in Costa Rica's Redistributive Payment for Ecosystem Service Program

Delgado, G. L., van den Hoogen, J., Dent, D. H., Bradfer‐Lawrence, T., Werden, L. K., Cole, R. J., Quesada, C. D., Fajarado, J.-A. J., Rodríguez, A. M., Solorzano, E. M., et al. (2026) · Global Change Biology · doi:10.1111/gcb.70730 · Cited by 4 · see citing works

Individual movement modeling expands the power of migratory species observations: North Atlantic right whale case study

Kreuser, A. M., Pendleton, D. E., Record, N. R., & Meyer‐Gutbrod, E. L. (2026) · Limnology and Oceanography Methods · doi:10.1002/lom3.70049 · Cited by 1 · see citing works

The role of conservation bioacoustics in achieving global biodiversity goals

Perea, S., Rhinehart, T. A., Bouffaut, L., Araya‐Salas, M., Davidson, I. K., Arcila-Pérez, L. F., Kitzes, J. A., & Buřivalová, Z. (2026) · Nature Reviews Biodiversity · doi:10.1038/s44358-026-00189-3 · Cited by 1 · see citing works

Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning

Nolasco, I., Moummad, I., Stowell, D., & Benetos, E. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890076 · Cited by 1 · see citing works

Compositional Audio Representation Learning

Sridhar, S., & Cartwright, M. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10890242 · Cited by 1 · see citing works

Territorial Acoustic Species Estimation Using Acoustic Sensor NetworksPreprint

Brüggemann, L., Otten, D., Sachser, F., & Aschenbruck, N. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5123380 · Cited by 1 · see citing works

Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation

Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5

Territorial Acoustic Species Estimation using Acoustic Sensor NetworksPreprint

Brüggemann, L., Otten, D., Sachser, F., & Aschenbruck, N. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5113322

Acoustic individual identification in a species of field cricket using deep learning

Kabuga, E., Nandi, D., Burrell, S. A., Dlamini, G. S., Balakrishnan, R., Bah, B., & Durbach, I. N. (2026) · The Journal of the Acoustical Society of America · doi:10.1121/10.0044100

How is AI Helping Humans Understand the Vocal Communication of Other Species: Recent Advancements in the Use of AI for Acoustic Monitoring of Wildlife

Djokic, D. (2025) · Premier Journal of Artificial Intelligence · doi:10.70389/pjai.100017

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales

Tolkova, I., Klinck, H., Cusano, D. A., Kügler, A., & Parks, S. E. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013321

Comparing manual and automated methods for identifying individual great gray owls via territorial calls

Polasik, J. S., Gura, K. B., & Bedrosian, B. E. (2025) · Wildlife Society Bulletin · doi:10.1002/wsb.1616

Meows encode less individual information than purrs and show greater variability in domestic than in wild cats

Russo, D., Schild, A. B., & Knörnschild, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-31536-7

Assessing the Effective Range for Individual Acoustic Identification: Comparison of Manual and Automatic MethodsPreprint

Morandi, I., Rodriguez, M. A. J., Kwak, M., Petrusková, T., & Linhart, P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.19.695494

Singing the night away: diel and seasonal patterns of LeConte's sparrow primary and flight songs

Marsh, A., Hannah, K. C., & Foote, J. R. (2026) · Journal of Avian Biology · doi:10.1002/jav.03625

Spatial validation of acoustic individual identification models without ground truths: a case study with the cao-vit gibbon population

Best, P., Dassow, A., Kershenbaum, A., Nguyen, T. D., Pogson, M., Maheshwari, A., & Marxer, R. (2026) · PeerJ · doi:10.7717/peerj.20655

Monitoring feral pigs ( Sus scrofa ): Complementarity between autonomous sensing methods increases detection probability

Scarpelli, M. D. A., Macdonald, S., Golchin, M., Linke, S., & Froese, J. (2026) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.70062

An Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europe

Airale, L., Pajot, A., & Linossier, J. (2026) · Scientific Data · doi:10.1038/s41597-026-07176-5

Automated detection of stereotyped animal sounds using data augmentation and transfer learning

Jancovich, B. A., Sanchez, V., Truong, G., & Rogers, T. L. (2026) · Scientific Reports · doi:10.1038/s41598-026-48308-6

Individual acoustic monitoring and colour‐ringing yield comparable estimates of male annual survival in a migratory songbird, but differ in breeding season detectability

Burton, N. H. K., Kahounová, H., Walker, J. H., Conway, G. J., Robinson, R. A., & Petrusková, T. (2026) · Ibis · doi:10.1111/ibi.70069

Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2025 Annual ReportPreprint

Lesmeister, D. B., Jenkins, J. M. A., Ruff, Z. J., Rugg, N. M., Abidari, S., Beavers, S. C., Christophersen, R. G., Davis, R. J., Terwilliger, M., Henderson, A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.26.727992

From calls to communities: acoustic monitoring of contact calls indicates spatial structure in endangered belugas

Aubin, J. A., Mennill, D. J., Mikus, M., Michaud, R., & Vergara, V. (2026) · Animal Behaviour · doi:10.1016/j.anbehav.2026.123662

AI-driven technological breakthroughs and practical pathways for biodiversity conservation and ecological management

Guan, S., Liao, Z., Han, X., & Niu, S. (2026) · iScience · doi:10.1016/j.isci.2026.116422 · Cited by 1 · see citing works

Individual bird identification by modelling temporal structure in bioacoustic embeddings

Gallego-Londoño, J., Martinez-Vargas, J. D., & López, J. D. (2026) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70399

Acoustic remote sensing with deep learning enables non-invasive estimation of seabird nest density

Terranova, F., Todaro, L., Forte, X., Ludynia, K., Geldenhuys, D., Mathevon, N., Reby, D., & Favaro, L. (2026) · Ecological Informatics · doi:10.1016/j.ecoinf.2026.104017

Singing and Calling Behavior of a Threatened Passerine With Spatially Variable Vocalizations: Individual, Population and Geographic Patterns

Pérez‐Granados, C., Alonso-Moya, C. D., Barrero, A., Sáez‐Gómez, P., Bota, G., Lahoz‐Monfort, J. J., Laiolo, P., Méndez, M., Serrano, D., Tella, J. L., et al. (2026) · Ecology and Evolution · doi:10.1002/ece3.74380

Few Annotations, High Accuracy: Transfer Learning and Data Augmentation Improve Passive Acoustic Monitoring of the Vulnerable African Manatee

Dubus, L., Verdier, A., Giotto, N., Mbemba, G., Michelin, G., Mulot, B., Manel, S., & Mouillot, D. (2026) · Remote Sensing in Ecology and Conservation · doi:10.1002/rse2.70110

El monitoreo acústico pasivo como herramienta para estudios de diversidad funcional en aves

Palacio, F. X., Zaffignani, D., & Scheffer, M. (2026) · El Hornero · doi:10.56178/eh.v41i2.1550

Mating history reveals within-individual integration of multimodal signaling effort in a pseudophylline katydid

Kernan, C. E., Symes, L. B., & ter Hofstede, H. M. (2026) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-026-03815-4

Vocal identification and monitoring of individual Australian Boobook owls ( Ninox boobook )

Jorge, F., Fuller, R. A., & van Rensburg, B. J. (2026) · Bioacoustics · doi:10.1080/09524622.2026.2755343

Systematic literature review of acoustic individual identification (AIID)

Knight, E. C., Rhinehart, T. A., de Zwaan, D. R., & Weldy, M. J. (2023) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.10056549

The potential for acoustic individual identification in mammals

Linhart, P., Mahamoud-Issa, M., Stowell, D., & Blumstein, D. T. (2022) · Mammalian Biology · doi:10.1007/s42991-021-00222-2 · Cited by 39 · see citing works

Individual identification of songbirds based on vocal signature: Successes, failures, and potential

Kitzes, J. A., Chronister, L. M., Lapp, S., & Viotti, L. (2026) · The Journal of the Acoustical Society of America · doi:10.1121/10.0045437

Acoustic identification of individuals within large avian populations: a case study of the Brownish-flanked Bush Warbler, South-Central

夏, 灿., Lin, X., Liu, W., Lloyd, H., & Zhang, Y. (2012)

Acoustic individual identification in a species of field cricket using deep learning

Kabuga, E., Nandi, D., Burrell, S. A., Dlamini, G. S., Balakrishnan, R., Bah, B., & Durbach, I. N. (2026) · The Journal of the Acoustical Society of America · doi:10.1121/10.0044100